Publication

Audio-Video Person Clustering in Video Databases

2003
Reports

Abstract

A methodology towards person clustering in meeting databases is presented in this report. Such goal is generic to a number of problem in computer vision and more specifically in content-based video indexing and retrieval. First, the audio-stream was considered alone, leading to the speaker clustering problem. An already existing algorithm has been used to this end. Then, the video stream was analysed, leading to a face clustering algorithm build from probability density distribution of face similarity distances. Finally, both modalities are considered to combine voice clustering and face clustering and achieve person clustering. This method has been tested on the IDIAP meeting database, and many results are given to prove the efficiency of the method and to show that it can be applied to other databases.

Official source

https://infoscience.epfl.ch/entities/publication/02f913ac-8182-47cd-866c-66fde7f21bfb

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2003
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/02f913ac-8182-47cd-866c-66fde7f21bfb

About this result

Related concepts (32)

Streaming media

Streaming media is multimedia that is delivered and consumed in a continuous manner from a source, with little or no intermediate storage in network elements. Streaming refers to the delivery method of content, rather than the content itself. Distinguishing delivery method from the media applies specifically to telecommunications networks, as most of the traditional media delivery systems are either inherently streaming (e.g. radio, television) or inherently non-streaming (e.g. books, videotapes, audio CDs).

Database

In computing, a database is an organized collection of data (also known as a data store) stored and accessed electronically through the use of a database management system. Small databases can be stored on a , while large databases are hosted on computer clusters or cloud storage. The design of databases spans formal techniques and practical considerations, including data modeling, efficient data representation and storage, query languages, security and privacy of sensitive data, and distributed computing issues, including supporting concurrent access and fault tolerance.

Probability density function

In probability theory, a probability density function (PDF), density function, or density of an absolutely continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the random variable would be equal to that sample.

Related publications (32)

Audio-Video Person Clustering in Video Databases

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